setup_dataframe

Data frame with columns ds, y, and cap if logistic growth.

Boolean set scaling factors in m from df.

initialize_scales

Implements a procedure for forecasting time series data based on
an additive model where non-linear trends are fit with yearly and weekly
seasonality, plus holidays.  It works best with daily periodicity data with
at least one year of historical data.  Prophet is robust to missing data,
shifts in the trend, and large outliers.

setup_dataframe: Prepare dataframe for fitting or predicting.

Description

Usage

Arguments

Value